Publications

J. Hwang, S. Ha, and D. Kim, "Wafer defect classification algorithm with label embedding using contrastive learning," IEEE Access, vol. 13, pp. 9708–9717, 2025.

G. Lee, T. Wang, D. Kim, and M. K. Jeong, "Sparse Group Principal Component Analysis Using Elastic Regularization and Its Application to Virtual Metrology in Semiconductor Manufacturing," Int. J. Prod. Res., vol. 63, no. 3, pp. 865-881, 2024.

K. Y. Bae and D. Kim, "Predicting Enemy Threats in Ground Operations Using Interpretable Machine Learning," Mil. Oper. Res. J., vol. 29, no. 4, pp. 89-116, 2024.

S. Lee, M. Park, Y. Ahn, G. B. Jung, and D. Kim, "Analysis of Tabular Data based on Graph Neural Network using Supervised Contrastive Loss," Neurocomputing, vol. 570, pp. 127–137, 2024.

G. B. Jun, D. Kim, E.-C. Shin, and J.-H. Ha, "Types of Polyunsaturated Fatty Acids in Epididymal Adipose Tissue Are Distinguishable Using Raman Spectroscopy and Multivariate Analysis," J. Med. Food, vol. 26, no. 5, pp. 352–356, 2023.

S. Lee, C. Lee, K. G. Mun, and D. Kim, "Decision Tree Algorithm Considering Distances Between Classes," IEEE Access, vol. 10, pp. 69750–69756, 2022.

S. Lee and D. Kim, "Deep Learning based Recommender System Using Cross Convolutional Filters," Inf. Sci., vol. 592, pp. 112–122, 2022.

S. Lee, E. Jo, S. Hwang, G. B. Jung, and D. Kim, "Similarity based Deep Neural Networks," Int. J. Fuzzy Logic Intell. Syst., vol. 21, no. 3, pp. 205–212, 2021.

J. Y. Lee, S. Ahn, and D. Kim, "Deep Learning-based Prediction of Future Growth Potential of Technologies," PLoS ONE, vol. 16, no. 6, p. e0252753, 2021.

H. Park, J. E. Choi, D. Kim, and S. J. Hong, "Artificial Immune System for Fault Detection and Classification of Semiconductor Equipment," Electronics, vol. 10, no. 8, p. 944, 2021.

M. Park, S. Lee, S. Hwang, and D. Kim, "Additive Ensemble Neural Networks," IEEE Access, vol. 8, pp. 113192–113199, 2020.

S. Park, N. Song, W. Yu, and D. Kim, "PSR: PSO-Based Signomial Regression Model," Int. J. Fuzzy Logic Intell. Syst., vol. 19, no. 4, pp. 307–314, 2019.

S. Hwang and D. Kim, "A Scalable Feature based Clustering Algorithm for Sequences with Many Distinct Items," Int. J. Fuzzy Logic Intell. Syst., vol. 18, no. 4, pp. 316–325, 2018.

G. B. Jung, J.-E. Huh, H.-H. Lee, D. Kim, G.-J. Lee, H.-K. Park, and J.-D. Lee, "Anti-cancer effect of bee venom on human MDA-MB-231 breast cancer cells using Raman spectroscopy," Biomedical Optics Express, vol. 9, no. 11, 2018.

G. B. Jung, S. W. Kang, G.-J. Lee, and D. Kim, "Biochemical characterization of the brain hippocampal areas after cerebral ischemia-reperfusion using Raman spectroscopy," Applied Spectroscopy, vol. 72, no. 10, pp. 1479–1486, 2018.

G. B. Jung, I. S. Kang, Y. J. Lee, D. Kim, H.-K. Park, G.-J. Lee, and C. Kim, "Label-free noninvasive characterization of osteoclast differentiation using Raman spectroscopy coupled with multivariate analysis," Current Optics and Photonics, vol. 1, no. 4, pp. 412–420, 2017.

K. Hwang, D. Kim, K. Lee, C. Lee, and S. Park, "Embedded Variable Selection Method Using Signomial Classification," Ann. Oper. Res., vol. 254, no. 1-2, pp. 89–109, 2017.

D. Kim, C. Lee, S. Hwang, and M. K. Jeong, "A Robust Support Vector Regression with a Linear-Log Concave Loss Function," J. Oper. Res. Soc., vol. 67, pp. 735–742, 2016.

J. Y. Seo, J. Y. Lee, S. Ahn, O.-J. Kwon, and D. Kim, "Keyword Hierarchy Construction Using Co-Word Analysis," Information, vol. 19, no. 6, pp. 2397–2492, 2016.

Y. J. Lee, H. J. Ahn, G. J. Lee, G. B. Jung, G. Lee, D. Kim, J. H. Shin, K. H. Jin, and H. K. Park, "Investigation of biochemical property changes in activation-induced CD8+ T cell apoptosis using Raman spectroscopy," Journal of Biomedical Optics, vol. 20, no. 7, p. 075001, 2015.

C. Lee, M. Pham, M. K. Jeong, D. Kim, D. K. J. Lin, and A. C. Chavalitwongse, "A network structural approach to the link prediction problem," INFORMS Journal on Computing, vol. 27, no. 2, pp. 249–267, 2015.

D. Kim, B. Lee, H. J. Lee, S. P. Lee, Y. Moon, and M. K. Jeong, "A graph kernel approach for detecting core patents and patent groups," IEEE Intelligent Systems, vol. 29, no. 4, pp. 44–51, 2015.

S. Hwang, D. Kim, and M. K. Jeong, "Robust Kernel Based Regression with Bounded Influence for Outliers," J. Oper. Res. Soc., vol. 66, pp. 1385–1398, 2015.

D. Kim, O.-J. Kwon, S. Ahn, and J. Y. Lee, "Citation Tracking of Core Papers," Information, vol. 17, pp. 35–38, 2014.

D. Kim, O.-J. Kwon, S. Ahn, and J. Y. Lee, "RFM Analysis for Detecting Core Research Topics," Information, vol. 17, pp. 39–44, 2014.

K. Lee, N. Kim, and M. K. Jeong, "The Sparse Signomial Classification and Regression Model," Ann. Oper. Res., vol. 216, pp. 257–286, 2014.

B. Kim, G. Gazzola, J.-M. Lee, D. Kim, K. Kim, and M. K. Jeong, "Inter-cluster connectivity analysis for technology opportunity discovery," Scientometrics, vol. 98, pp. 1811–1825, 2014.

D. Kim, B. Lee, H. J. Lee, S. P. Lee, Y. Moon, and M. K. Jeong, "Automated detection of influential patents using singular values," IEEE Transactions on Automation Science and Engineering, vol. 9, pp. 723–733, 2012.

N. Kim, Y. S. Jeong, and M. K. Jeong, "Kernel ridge regression with lagged-dependent variable: applications to prediction of internal bond strength in a medium density fiberboard process," IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), vol. 42, pp. 1011–1020, 2012.

J. I. Park, N. Kim, M. K. Jeong, and K. S. Shin, "Multiphase support vector regression for function approximation with break-points," Journal of the Operational Research Society, vol. 64, pp. 775–785, 2013.

J. I. Park, N. Kim, and S. J. Bae, "A genetic-based iterative quantile regression algorithm for analyzing fatigue curves," Quality and Reliability Engineering International, vol. 28, pp. 897–909, 2012.

J. Han, N. Kim, M. K. Jeong, and B.-J. Yum, "Comparisons of classification methods in the original and pattern spaces," Expert Systems with Applications, vol. 38, pp. 12432–12438, 2011.

J. Han, N. Kim, B.-J. Yum, and M. K. Jeong, "Pattern selection approaches for the logical analysis of data considering the outliers and the coverage of a pattern," Expert Systems with Applications, vol. 38, pp. 13857–13862, 2011.

D. Kim and B.-J. Yum, "Collaborative filtering based on iterative principal component analysis," Expert Systems with Applications, vol. 28, pp. 823–830, 2005.

황정준, 윤수아, 김도현, 2025. 대조학습을 활용한 비지도 토픽모델링, 품질경영학회지, Accepted.

최기정, 김도현, 2025. N-BEATS를 이용한 시계열 변화점 탐지, 신뢰성응용연구, 25(1).

황정준, 신영현, 심효섭, 김도현, 김동근, 2023. 서울시 공영주차장 군집화 및 수요 예측, 품질경영학회지, 51(4), 497-514.

서호진, 김도현, 변재현, 2023. 제조품질 향상을 위한 데이터 전처리 프로세스, 대한산업공학회지, 49(3), 248-257.

하소미, 김도현, 2022. 이상치를 고려한 딥러닝 기반 웨이퍼 맵 결함 패턴 클러스터링, 신뢰성응용연구, 22(4), 342-351.

서호진, 변재현, 김도현, 2021. 품질 4.0: 개념, 요소, 수준 평가와 전개 방향, 품질경영학회지, 49(4), 447-466.

김동근, 박귀원, 하소미, 김도현, 2021. 요인분석을 활용한 서울시 자치구/행정동의 지역균형지수 개발, 품질경영학회지, 49(3), 375-392.

안영근, 김성준, 김도현, 김철만, 김우식, 2021. 트리 기반 가스배관 분할 알고리즘을 이용한 잔여수명 예측, 신뢰성응용연구, 21(2), 173-180.

김성준, 김도현, 김철만, 김우식, 2020. API 5L X65 배관의 신뢰도 평가를 위한 파열압력 분포 추정에 관한 연구, 품질경영학회지, 48(4), 597-608.

김도현, 김성준, 김우식, 김철만, 2020. GAN 기반 데이터생성을 통한 가스배관의 잔여수명분포 추정, 한국지능시스템학회 논문지, 30(1), 80-85.

황상흠, 김도현, 2020. 한국어 기술문서 분석을 위한 BERT 기반의 분류모델, 한국전자거래학회지, 25(1), 203-214.

김성준, 김도현, 김우식, 김철만, 김영표, 2019. 부식기반 복합고장을 고려한 가스배관의 신뢰도 평가, 품질경영학회지, 47(4), 739-754.

윤동희, 김수민, 김도현, 2019. 딥러닝을 이용한 시계열데이터 군집화, 신뢰성응용연구, 19(2), 167-178.

이준영, 김도현, 문영호, 권오진, 안세정, 2013. 기술융합의 세계적 추세와 한국의 현황 비교분석. 대한산업공학회지, 39, 222-232.

이준영, 김도현, 안세정, 노경란, 권오진, 2013. 고피인용 논문을 활용한 유망기술 발굴. 한국전자통신학회 논문지, 8, 1655–1664.

이방래, 이준영, 김도현, 노경란, 양명석, 권오진, 최광남, 김한준, 2013. 과학기술 지식맵의 형태적 분류와 정보분석 관점의 지식맵 사례 도출. 한국콘텐츠학회논문지, 13, 461–476.

안세정, 김도현, 권오진, 배영철, 이준영, 2012. 유망영역 탐지를 위한 키워드 매핑의 동태적 분석: 그래핀 사례연구. 한국전자통신학회 논문지, 7, 1393-1401.

김용수, Kim, N., 염봉진, 2010. 차원 감소 기법을 이용한 전자 상거래 추천 시스템. 대한산업공학회지, 36, 193–202.

정영선, 이충목, 김도현, 이경식, 2010. Remote Health Monitoring of Parkinson’s Disease Severity Using Signomial Regression Model, IE Interfaces, 23, 365-371.